Literature DB >> 15746014

More genes or more taxa? The relative contribution of gene number and taxon number to phylogenetic accuracy.

Antonis Rokas1, Sean B Carroll.   

Abstract

The relative contribution of taxon number and gene number to accuracy in phylogenetic inference is a major issue in phylogenetics and of central importance to the choice of experimental strategies for the successful reconstruction of a broad sketch of the tree of life. Maximization of the number of taxa sampled is the strategy favored by most phylogeneticists, although its necessity remains the subject of debate. Vast increases in gene number are now possible due to advances in genomics, but large numbers of genes will be available for only modest numbers of taxa, raising the question of whether such genome-scale phylogenies will be robust to the addition of taxa. To examine the relative benefit of increasing taxon number or gene number to phylogenetic accuracy, we have developed an assay that utilizes the symmetric difference tree distance as a measure of phylogenetic accuracy. We have applied this assay to a genome-scale data matrix containing 106 genes from 14 yeast species. Our results show that increasing taxon number correlates with a slight decrease in phylogenetic accuracy. In contrast, increasing gene number has a significant positive effect on phylogenetic accuracy. Analyses of an additional taxon-rich data matrix from the same yeast clade show that taxon number does not have a significant effect on phylogenetic accuracy. The positive effect of gene number and the lack of effect of taxon number on phylogenetic accuracy are also corroborated by analyses of two data matrices from mammals and angiosperm plants, respectively. We conclude that, for typical data sets, the number of genes utilized may be a more important determinant of phylogenetic accuracy than taxon number.

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Year:  2005        PMID: 15746014     DOI: 10.1093/molbev/msi121

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  81 in total

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2.  Using confidence set heuristics during topology search improves the robustness of phylogenetic inference.

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Journal:  J Mol Evol       Date:  2006-12-09       Impact factor: 2.395

3.  Novel relationships among ten fish model species revealed based on a phylogenomic analysis using ESTs.

Authors:  Dirk Steinke; Walter Salzburger; Axel Meyer
Journal:  J Mol Evol       Date:  2006-05-11       Impact factor: 2.395

4.  Literature based discovery of gene clusters using phylogenetic methods.

Authors:  Indra Neil Sarkar; Abha Agrawal
Journal:  AMIA Annu Symp Proc       Date:  2006

5.  Concatenation and concordance in the reconstruction of mouse lemur phylogeny: an empirical demonstration of the effect of allele sampling in phylogenetics.

Authors:  David W Weisrock; Stacey D Smith; Lauren M Chan; Karla Biebouw; Peter M Kappeler; Anne D Yoder
Journal:  Mol Biol Evol       Date:  2012-01-12       Impact factor: 16.240

6.  Conflict between datasets and phylogeny of centipedes: an analysis based on seven genes and morphology.

Authors:  Gonzalo Giribet; Gregory D Edgecombe
Journal:  Proc Biol Sci       Date:  2006-03-07       Impact factor: 5.349

7.  Phylogenetic fate mapping: theoretical and experimental studies applied to the development of mouse fibroblasts.

Authors:  Stephen J Salipante; James M Thompson; Marshall S Horwitz
Journal:  Genetics       Date:  2008-02-03       Impact factor: 4.562

8.  The phylogenetic informativeness of nucleotide and amino acid sequences for reconstructing the vertebrate tree.

Authors:  Jeffrey P Townsend; Francesc López-Giráldez; Robert Friedman
Journal:  J Mol Evol       Date:  2008-08-12       Impact factor: 2.395

9.  Phylogeny of the cycads based on multiple single-copy nuclear genes: congruence of concatenated parsimony, likelihood and species tree inference methods.

Authors:  Dayana E Salas-Leiva; Alan W Meerow; Michael Calonje; M Patrick Griffith; Javier Francisco-Ortega; Kyoko Nakamura; Dennis W Stevenson; Carl E Lewis; Sandra Namoff
Journal:  Ann Bot       Date:  2013-08-29       Impact factor: 4.357

10.  The nuclear genome of Brachypodium distachyon: analysis of BAC end sequences.

Authors:  Naxin Huo; Gerard R Lazo; John P Vogel; Frank M You; Yaqin Ma; Daniel M Hayden; Devin Coleman-Derr; Theresa A Hill; Jan Dvorak; Olin D Anderson; Ming-Cheng Luo; Yong Q Gu
Journal:  Funct Integr Genomics       Date:  2007-11-06       Impact factor: 3.410

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